The Network Construct: Foundations for Developing Ecological Engineering Science David K. Gattie, Timothy L. Foutz, and E. William Tollner, Faculty of Engineering, University of Georgia Systems and Engineering Ecology Program Abstract Engineering Sciences Systems and Engineering Ecology Ecological engineering is an emerging field of study that lacks mature, unique engineering sciences that typify traditional engineering disciplines developed from engineering physics, engineering chemistry, engineering biology, and engineering mathematics. An academic program in Systems and Engineering Ecology at the University of Georgia has been initiated that follows the model of established engineering disciplines and draws significantly from general systems science, systems ecology, engineering and the mathematics of network theory to 1) build insight into the behavior and properties of ecosystems as holistic units, 2) develop invariant properties of ecosystems as networks, and 3) establish science-based design processes for the practice of ecological engineering. Theoretical concepts are often proposed in physics, chemistry and biology, with some having withstood scientific scrutiny and accepted as basic, universal principles. The application of these principles in the design of engineered systems motivates the development of engineering sciences where invariant principles are critical for ensuring the safety and welfare of society. The atomic, molecular, cellular, and macroscopic properties of energy and matter, the basis for these principles, have been the focus of the dominant Newtonian paradigm that has served society well, particularly through the engineering discipline. These units of study are also tractable by nature and therefore can be empirically analyzed. The program of study at UGA has been entitled “Systems and Engineering Ecology”, and defined as, “development, synthesis and insight-building of theory and principles from the fields of General Systems Science, Systems Ecology, and Engineering, as they apply to making complex, holistic ecosystems, tractable study units of nature”. General academic objectives are to: Subject Engineering Physics School University of California-Berkeley The Ohio State University University of Florida University of Maryland Toyohashi University of Technology University of Washington University of Arkansas Hochschule Magdeburg-Stendal (FH), University of Applied Sciences Type of Program and Academic Home Master’s in Ecological Engineering - Dept. of Civil and Environmental Engineering Graduate Study Options in Four Participating Depts. - Dept. of Food, Biological & Agricultural Engineering, - Dept. Civil & Environmental Engineering and Geodetic Science, - School of Natural Resources, - Environmental Science Graduate Program) Focus Water Quality Hydrology/Fluid Mechanics Engineering Chemistry Engineering Biology Engineering Mathematics Systems and Engineering Ecology Thermodynamics Electromagnetism Electrostatic energy/forces Power dissipation Electric flux Magnetic energy Force Momentum Gravitation Light Chemical reactions Bonding Mass transfer Kinetics Catalysis Molecular forces Multiphase flow Absorption/adsorption Solubility Diffusion Mixing Equilibrium Cellular structure/function Metabolism Neuroscience Biotechnology Bioseparation Biomechanics Calculus Vector calculus Partial/ordinary differential equations Complex variables Numerical methods Laplace/Fourier transforms Graduate Focus Area of Study - Dept. of Biological Resources Engineering Natural treatment systems Wetlands Hydrology Undergraduate - Faculty of Engineering Master’s - Graduate School Bioscience/Biotechnology Applied Eco-technology Eco-environmental Systems Figure 1. Heuristic of general components of ecological engineering as a discipline. Novel ecological engineering sciences, undergraduate degree programs and science-based design currently have not been established. Focus of University of Georgia curriculum is on maturing the engineering sciences component by synthesizing basic principles of systems science, systems ecology, and engineering with the appropriate descriptive mathematics at the graduate level. Ecological Engineering Sciences Research Design Standards Systems and Engineering Ecology Synthesis of Basic Sciences Forest resource management Graduate focus area of research - Dept. of Biological & Agricultural Engineering Hydrology Watershed Management /Modeling Master of Engineering with Area in Ecological Engineering - Dept. of Water Management Ecological Technologies Hydraulic engineering Environmental law and management synthesize fundamental concepts from general systems science, systems ecology and engineering into novel bodies of knowledge, as opposed to offering individual courses from each field 3) emphasize understanding and development of theory and basic principles rather than application of proposed principles 4) focus on building insight into invariant network properties of ecosystem, the basic design unit of ecological engineering 5) integrate formal engineering design theory and principles with invariant properties of ecosystems to develop ecological engineering design processes, and 6) graduate students with a deep knowledge base in systems and engineering ecology Proposed Curriculum Seven hypotheses of ecosystem properties will serve as proposed network properties around which UGA’s academic program will initially build. These represent the essence of ecosystem structure and function within the network construct and can be a springboard for exploring various ecosystem theories that have been developed over the past four decades. Nine upper graduate-level courses will be offered. The general goal is to leverage the perspective of general systems thinking with the mathematical strength of network analysis and the insight-building capacity of modeling to explore the properties of ecosystems as complex network structures. Academic Objective Course Course Description Establish systems thinking as the foundational construct General Systems Principles and Theory General principles of complex, adaptive systems including concepts from cybernetics, networks and information theory. Develop concepts of natural history and engineering principles within the systems construct Natural History Principles of Engineered Systems Control Theory Chemistry Mathematics resource References B.C. Patten, Systems approach to the concept of environment, Ohio J. Sci., 78, pp. 206-222(1978) B.D. Fath and B.C. Patten, Review of the foundations of network environ analysis, Ecosystems, 2, pp. 167-179 (1999) M. Higashi and B.C. Patten, Dominance of indirect causality in ecosystems, Am. Nat. 133, pp. 288-302 (1989) S.E. Jorgensen, B.C. Patten and M. Straskraba, Ecosystems emerging: toward an ecology of complex Systems in a complex future, Ecol. Model., 62, pp. 1-27 (1992) B.C. Patten, Energy cycling in the ecosystem, Ecol. Model., 28, pp. 1-71 (1985) T.F.H. Allen and T.W. Hoekstra, Toward a unified ecology, Columbia University Press, New York (1992) T.P. Burns, B.C. Patten and M. Higashi, Hierarchical evolution in ecosystem networks: environs and selection. In Higashi, M and T.P. Burns (Eds.), Theoretical Ecosystem Ecology: The Network Perspective. Cambridge University Press, London, pp. 211-239. 2) Principles Need to be Developed (Proposed Program of Study at UGA will focus on this area) Ecological Engineering Discipline Wetlands Science Emergy Analysis B.S. Forest Resources with major in Forest and Ecological Engineering - Jointly offered through College of Forest Resources and College of Engineering Properties and behavior of material Engineering mechanics Statics Dynamics Fluid mechanics Heat transfer Buoyancy Pressure Motion Wetlands Science Ecosystem Restoration Graduate Certificate - Dept. of Environmental Engineering Sciences follow the models of engineering physics, engineering chemistry, engineering biology and engineering mathematics to develop engineering ecology as a foundational science for ecological engineering Principles Relating To Current Academic Programs Engineering is a discipline of applied science and systems design founded on fundamental principles of physics, chemistry, biology and mathematics, with scales of application ranging from nano to landscape. Established disciplines of civil, mechanical, electrical, chemical and biological engineering, to name a few, have applied the basic sciences in designing systems to improve the quality of life for societies over many generations. New engineering disciplines emerge infrequently, and then only after the underlying science has matured to a level for systems design and analysis to be formally established. While degree programs remain a goal for colleges and universities with ecological engineering aspirations, the development and implementation of such programs have proven difficult. Current academic programs are primarily classified as focus areas, emphasis areas or certificates, and are offered through existing engineering programs of study. These programs tend to be oriented toward aquatic systems with an emphasis on application and practice. 1) Physics Biology General Systems Science Engineering Systems Ecology Integrate fundamentals of control theory with graph theory structural and functional constructs of ecosystem networks Graph Theory Open Systems Modeling Identify principles for modeling and analyzing ecosystems as thermodynamically open networks Focus of Systems and Engineering Ecology Program at The University of Georgia Interdisciplinary experience in complex problem-solving Ecological Energetics Development of populations, communities and environment as ecosystems. Major ecosystems of the world will be analyzed with regard to their development and function Basic principles and universal laws from physics, chemistry, biology and mathematics that have been applied within the systems design framework of engineering Hypothesis Reference Ecosystems are networks of environments Patten (1978); Fath and Patten (1999) Ecosystem function is holistic and dominated by network indirect effects Ecosystems are structurally and functionally complex Higashi and Patten (1989) Jørgensen, et al. (1992) Principles of control, signal flow and state-space theories. Principles and theory of the representation and construction of ecosystems as networks and directed graphs. Mathematical techniques for analyzing properties of networks will be emphasized. Principles and rules for identifying boundaries and components of hierarchical, complex systems. Modeling of the dynamics of systems thermodynamically open to their environment. Static, steady-state, dynamic and transient methods will be studied. Ecosystems cycle thermodynamically conservative energy and material and nonconservative information along network pathways Patten (1985) Ecosystems are self-organizing and adaptive Transport, flow and cycling of thermodynamically conservative energy and material within an ecosystem network Network Analysis Methods for analyzing complex properties of ecosystems modeled as networks. Network environ analysis will serve as the foundation Capstone in Modeling, Design and Analysis Students from disparate backgrounds use knowledge from coursework to model, design and analyze an open system having complex properties Ecosystems are hierarchical with emergent properties Ecosystems are intractable and irreducible Burns, et al. (1990) Allen and Hoekstra (1992)